Loading [MathJax]/jax/output/CommonHTML/jax.js
CMS logoCMS event Hgg
Compact Muon Solenoid
LHC, CERN

CMS-PAS-SMP-23-003
Search for charged lepton flavor violating Z and Z' boson decays in proton-proton collisions at s= 13 TeV
Abstract: A search for charged lepton flavor violating decays of the Z boson is performed using data from proton-proton collisions at s= 13 TeV collected with the CMS detector at the LHC, corresponding to an integrated luminosity of 138 fb1. The Z eμ, Z eτ, and Z μτ decays are considered separately, where hadronic and different-flavor leptonic τ decays are used in the latter two searches. The data are found to be consistent with expectations from the standard model. For the Z eμ channel the observed (expected) 95% CL upper limit on the branching fraction is 1.9 ×107 ( 2.0 ×107), which is the most stringent direct limit to date on this process. The corresponding limits for the Z eτ, and Z μτ channels are 13.8 ×106 ( 11.4 ×106) and 12.0 ×106 ( 5.3 ×106), respectively. Additionally, the eμ final state is used to search for lepton flavor violating decays of resonances in the mass range from 110 to 500 GeV. No significant excess is observed above the predicted background levels.
Figures & Tables Summary References CMS Publications
Figures

png pdf
Figure 1:
Invariant mass of the eμ system for data (points with error bars) and simulated background (stacked filled histograms) events passing the baseline selection. The hatched histogram shows a hypothetical Zeμ signal normalized to a branching fraction of 1.0 ×105. The lower panel shows the ratio of the data to simulated yields, with the statistical (combined systematic and statistical) uncertainty of the simulated yield indicated by the filled (striped) gray band.

png pdf
Figure 2:
The left-band plot shows the unity-normalized distributions of the Zeμ BDT score for events satisfying 70 <meμ< 110 GeV, for simulated signal (red histogram) and background (blue histogram) events. The right-hand plot shows the distribution in meμ of events in the t¯t data control sample, for several different BDT thresholds. The vertical error bars in the right-hand plot show the statistical uncertainties.

png pdf
Figure 2-a:
The left-band plot shows the unity-normalized distributions of the Zeμ BDT score for events satisfying 70 <meμ< 110 GeV, for simulated signal (red histogram) and background (blue histogram) events. The right-hand plot shows the distribution in meμ of events in the t¯t data control sample, for several different BDT thresholds. The vertical error bars in the right-hand plot show the statistical uncertainties.

png pdf
Figure 2-b:
The left-band plot shows the unity-normalized distributions of the Zeμ BDT score for events satisfying 70 <meμ< 110 GeV, for simulated signal (red histogram) and background (blue histogram) events. The right-hand plot shows the distribution in meμ of events in the t¯t data control sample, for several different BDT thresholds. The vertical error bars in the right-hand plot show the statistical uncertainties.

png pdf
Figure 3:
Fits of the data sidebands with the considered background functions for the BDT score ranges 0.3--0.7 (upper left), 0.7--0.9 (upper right), and 0.9--1.0 (lower). In the upper panel of each plot, the black (blue) points with error bars show the data in the sideband (signal) region, while the gray band shows the spread of background estimates from the separate families of parametric functions, the solid red line shows the average prediction, and the dashed green curve shows the Zμμμμγ background component. The lower panel shows the ratio of the difference between the data and the average model prediction to the uncertainty of the data with the envelope spread shown in gray.

png pdf
Figure 3-a:
Fits of the data sidebands with the considered background functions for the BDT score ranges 0.3--0.7 (upper left), 0.7--0.9 (upper right), and 0.9--1.0 (lower). In the upper panel of each plot, the black (blue) points with error bars show the data in the sideband (signal) region, while the gray band shows the spread of background estimates from the separate families of parametric functions, the solid red line shows the average prediction, and the dashed green curve shows the Zμμμμγ background component. The lower panel shows the ratio of the difference between the data and the average model prediction to the uncertainty of the data with the envelope spread shown in gray.

png pdf
Figure 3-b:
Fits of the data sidebands with the considered background functions for the BDT score ranges 0.3--0.7 (upper left), 0.7--0.9 (upper right), and 0.9--1.0 (lower). In the upper panel of each plot, the black (blue) points with error bars show the data in the sideband (signal) region, while the gray band shows the spread of background estimates from the separate families of parametric functions, the solid red line shows the average prediction, and the dashed green curve shows the Zμμμμγ background component. The lower panel shows the ratio of the difference between the data and the average model prediction to the uncertainty of the data with the envelope spread shown in gray.

png pdf
Figure 3-c:
Fits of the data sidebands with the considered background functions for the BDT score ranges 0.3--0.7 (upper left), 0.7--0.9 (upper right), and 0.9--1.0 (lower). In the upper panel of each plot, the black (blue) points with error bars show the data in the sideband (signal) region, while the gray band shows the spread of background estimates from the separate families of parametric functions, the solid red line shows the average prediction, and the dashed green curve shows the Zμμμμγ background component. The lower panel shows the ratio of the difference between the data and the average model prediction to the uncertainty of the data with the envelope spread shown in gray.

png pdf
Figure 4:
Invariant mass of the eμ system for data (points with error bars) and simulated background (stacked filled histograms) events passing the baseline selection without and upper limit on the invariant mass. The lower panel shows the ratio of the data to simulated yields, with the statistical (combined systematic and statistical) uncertainty of the simulated yield indicated by the filled (striped) gray band.

png pdf
Figure 5:
The μτh (left) and μτe (right) mcol distributions, for the data (black markers with error bars), the simulated backgrounds (filled stacked histograms), and a simulated signal with branching fraction B(Zμτ)=103 (blue hatched histogram). The lower panel shows the ratio of the data to simulated yields, with the statistical (combined systematic and statistical) uncertainty of the simulated yield indicated by the filled (striped) gray band.

png pdf
Figure 5-a:
The μτh (left) and μτe (right) mcol distributions, for the data (black markers with error bars), the simulated backgrounds (filled stacked histograms), and a simulated signal with branching fraction B(Zμτ)=103 (blue hatched histogram). The lower panel shows the ratio of the data to simulated yields, with the statistical (combined systematic and statistical) uncertainty of the simulated yield indicated by the filled (striped) gray band.

png pdf
Figure 5-b:
The μτh (left) and μτe (right) mcol distributions, for the data (black markers with error bars), the simulated backgrounds (filled stacked histograms), and a simulated signal with branching fraction B(Zμτ)=103 (blue hatched histogram). The lower panel shows the ratio of the data to simulated yields, with the statistical (combined systematic and statistical) uncertainty of the simulated yield indicated by the filled (striped) gray band.

png pdf
Figure 6:
Distributions of μτh signal and estimated backgrounds in αμ (left), ατ (right), for the data (black markers with error bars), the simulated backgrounds (filled stacked histograms), and a simulated signal with branching fraction B(Zμτ)=103 (blue hatched histogram). The lower panel shows the ratio of the data to simulated yields, with the statistical (combined systematic and statistical) uncertainty of the simulated yield indicated by the filled (striped) gray band.

png pdf
Figure 6-a:
Distributions of μτh signal and estimated backgrounds in αμ (left), ατ (right), for the data (black markers with error bars), the simulated backgrounds (filled stacked histograms), and a simulated signal with branching fraction B(Zμτ)=103 (blue hatched histogram). The lower panel shows the ratio of the data to simulated yields, with the statistical (combined systematic and statistical) uncertainty of the simulated yield indicated by the filled (striped) gray band.

png pdf
Figure 6-b:
Distributions of μτh signal and estimated backgrounds in αμ (left), ατ (right), for the data (black markers with error bars), the simulated backgrounds (filled stacked histograms), and a simulated signal with branching fraction B(Zμτ)=103 (blue hatched histogram). The lower panel shows the ratio of the data to simulated yields, with the statistical (combined systematic and statistical) uncertainty of the simulated yield indicated by the filled (striped) gray band.

png pdf
Figure 7:
For the Zeμ search, the invariant mass fit results for the BDT score ranges 0.3--0.7 (upper left), 0.7--0.9 (upper right), and 0.9--1.0 (lower). In each plot, the upper panel shows the data (points with error bars) together with the fit distribution curve (red) and its separate signal (blue dotted) Zμμ (yellow dash-dotted) and continuum background (gray dashed) components, and the lower panel shows the deviations of the data from the fit function divided by the data uncertainty.

png pdf
Figure 7-a:
For the Zeμ search, the invariant mass fit results for the BDT score ranges 0.3--0.7 (upper left), 0.7--0.9 (upper right), and 0.9--1.0 (lower). In each plot, the upper panel shows the data (points with error bars) together with the fit distribution curve (red) and its separate signal (blue dotted) Zμμ (yellow dash-dotted) and continuum background (gray dashed) components, and the lower panel shows the deviations of the data from the fit function divided by the data uncertainty.

png pdf
Figure 7-b:
For the Zeμ search, the invariant mass fit results for the BDT score ranges 0.3--0.7 (upper left), 0.7--0.9 (upper right), and 0.9--1.0 (lower). In each plot, the upper panel shows the data (points with error bars) together with the fit distribution curve (red) and its separate signal (blue dotted) Zμμ (yellow dash-dotted) and continuum background (gray dashed) components, and the lower panel shows the deviations of the data from the fit function divided by the data uncertainty.

png pdf
Figure 7-c:
For the Zeμ search, the invariant mass fit results for the BDT score ranges 0.3--0.7 (upper left), 0.7--0.9 (upper right), and 0.9--1.0 (lower). In each plot, the upper panel shows the data (points with error bars) together with the fit distribution curve (red) and its separate signal (blue dotted) Zμμ (yellow dash-dotted) and continuum background (gray dashed) components, and the lower panel shows the deviations of the data from the fit function divided by the data uncertainty.

png pdf
Figure 8:
Upper limits at 95% CL on the branching fraction B(Zeμ), for each BDT score range and for the final combined fit. The observed limits are denoted by the markers, while the expected limits with their 68% and 95% uncertainties are denoted by the horizontal dashed lines and green and yellow bands, respectively.

png pdf
Figure 9:
Transformed BDT score fit results for the Zeτh channels: (upper left) 40 <mτ< 60, ``ττ''; (upper right) 60 <mτ< 85, ``signal-like''; (lower left) 85 <mτ< 100, ``Z''; (lower right) 100 <mτ< 170, ``misID''. In each plot, the top panel shows the fit distributions and the data, the middle panel shows the ratio of the data to the background component (points error bars) as well as the (signal+background) / background component distributions (blue dotted histogram), and the bottom panel shows the pull by bin (light blue) using the total signal+background fit results. Shaded bands show the systematic uncertainties of the background estimate.

png pdf
Figure 9-a:
Transformed BDT score fit results for the Zeτh channels: (upper left) 40 <mτ< 60, ``ττ''; (upper right) 60 <mτ< 85, ``signal-like''; (lower left) 85 <mτ< 100, ``Z''; (lower right) 100 <mτ< 170, ``misID''. In each plot, the top panel shows the fit distributions and the data, the middle panel shows the ratio of the data to the background component (points error bars) as well as the (signal+background) / background component distributions (blue dotted histogram), and the bottom panel shows the pull by bin (light blue) using the total signal+background fit results. Shaded bands show the systematic uncertainties of the background estimate.

png pdf
Figure 9-b:
Transformed BDT score fit results for the Zeτh channels: (upper left) 40 <mτ< 60, ``ττ''; (upper right) 60 <mτ< 85, ``signal-like''; (lower left) 85 <mτ< 100, ``Z''; (lower right) 100 <mτ< 170, ``misID''. In each plot, the top panel shows the fit distributions and the data, the middle panel shows the ratio of the data to the background component (points error bars) as well as the (signal+background) / background component distributions (blue dotted histogram), and the bottom panel shows the pull by bin (light blue) using the total signal+background fit results. Shaded bands show the systematic uncertainties of the background estimate.

png pdf
Figure 9-c:
Transformed BDT score fit results for the Zeτh channels: (upper left) 40 <mτ< 60, ``ττ''; (upper right) 60 <mτ< 85, ``signal-like''; (lower left) 85 <mτ< 100, ``Z''; (lower right) 100 <mτ< 170, ``misID''. In each plot, the top panel shows the fit distributions and the data, the middle panel shows the ratio of the data to the background component (points error bars) as well as the (signal+background) / background component distributions (blue dotted histogram), and the bottom panel shows the pull by bin (light blue) using the total signal+background fit results. Shaded bands show the systematic uncertainties of the background estimate.

png pdf
Figure 9-d:
Transformed BDT score fit results for the Zeτh channels: (upper left) 40 <mτ< 60, ``ττ''; (upper right) 60 <mτ< 85, ``signal-like''; (lower left) 85 <mτ< 100, ``Z''; (lower right) 100 <mτ< 170, ``misID''. In each plot, the top panel shows the fit distributions and the data, the middle panel shows the ratio of the data to the background component (points error bars) as well as the (signal+background) / background component distributions (blue dotted histogram), and the bottom panel shows the pull by bin (light blue) using the total signal+background fit results. Shaded bands show the systematic uncertainties of the background estimate.

png pdf
Figure 10:
Transformed BDT score fit results for the Zeτμ channels: (upper left) 40 <mτ< 50, ``ττ''; (upper right) 50 <mτ< 100, ``signal-like''; (lower) 100 <mτ< 170, ``misID''. In each plot, the top panel shows the fit distributions and the data, the middle panel shows the ratio of the data to the background component (points error bars) as well as the (signal+background) / background component distributions (blue dotted histogram), and the bottom panel shows the pull by bin (light blue) using the total signal+background fit results. Shaded bands show the systematic uncertainties of the background estimate.

png pdf
Figure 10-a:
Transformed BDT score fit results for the Zeτμ channels: (upper left) 40 <mτ< 50, ``ττ''; (upper right) 50 <mτ< 100, ``signal-like''; (lower) 100 <mτ< 170, ``misID''. In each plot, the top panel shows the fit distributions and the data, the middle panel shows the ratio of the data to the background component (points error bars) as well as the (signal+background) / background component distributions (blue dotted histogram), and the bottom panel shows the pull by bin (light blue) using the total signal+background fit results. Shaded bands show the systematic uncertainties of the background estimate.

png pdf
Figure 10-b:
Transformed BDT score fit results for the Zeτμ channels: (upper left) 40 <mτ< 50, ``ττ''; (upper right) 50 <mτ< 100, ``signal-like''; (lower) 100 <mτ< 170, ``misID''. In each plot, the top panel shows the fit distributions and the data, the middle panel shows the ratio of the data to the background component (points error bars) as well as the (signal+background) / background component distributions (blue dotted histogram), and the bottom panel shows the pull by bin (light blue) using the total signal+background fit results. Shaded bands show the systematic uncertainties of the background estimate.

png pdf
Figure 10-c:
Transformed BDT score fit results for the Zeτμ channels: (upper left) 40 <mτ< 50, ``ττ''; (upper right) 50 <mτ< 100, ``signal-like''; (lower) 100 <mτ< 170, ``misID''. In each plot, the top panel shows the fit distributions and the data, the middle panel shows the ratio of the data to the background component (points error bars) as well as the (signal+background) / background component distributions (blue dotted histogram), and the bottom panel shows the pull by bin (light blue) using the total signal+background fit results. Shaded bands show the systematic uncertainties of the background estimate.

png pdf
Figure 11:
Transformed BDT score fit results for the Zμτh channels: (upper left) 40 <mτ< 60, ``ττ''; (upper right) 60 <mτ< 85, ``signal-like''; (lower left) 85 <mτ< 100, ``Z''; (lower right) 100 <mτ< 170, ``misID''. In each plot, the top panel shows the fit distributions and the data, the middle panel shows the ratio of the data to the background component (points error bars) as well as the (signal+background) / background component distributions (blue dotted histogram), and the bottom panel shows the pull by bin (light blue) using the total signal+background fit results. Shaded bands show the systematic uncertainties of the background estimate.

png pdf
Figure 11-a:
Transformed BDT score fit results for the Zμτh channels: (upper left) 40 <mτ< 60, ``ττ''; (upper right) 60 <mτ< 85, ``signal-like''; (lower left) 85 <mτ< 100, ``Z''; (lower right) 100 <mτ< 170, ``misID''. In each plot, the top panel shows the fit distributions and the data, the middle panel shows the ratio of the data to the background component (points error bars) as well as the (signal+background) / background component distributions (blue dotted histogram), and the bottom panel shows the pull by bin (light blue) using the total signal+background fit results. Shaded bands show the systematic uncertainties of the background estimate.

png pdf
Figure 11-b:
Transformed BDT score fit results for the Zμτh channels: (upper left) 40 <mτ< 60, ``ττ''; (upper right) 60 <mτ< 85, ``signal-like''; (lower left) 85 <mτ< 100, ``Z''; (lower right) 100 <mτ< 170, ``misID''. In each plot, the top panel shows the fit distributions and the data, the middle panel shows the ratio of the data to the background component (points error bars) as well as the (signal+background) / background component distributions (blue dotted histogram), and the bottom panel shows the pull by bin (light blue) using the total signal+background fit results. Shaded bands show the systematic uncertainties of the background estimate.

png pdf
Figure 11-c:
Transformed BDT score fit results for the Zμτh channels: (upper left) 40 <mτ< 60, ``ττ''; (upper right) 60 <mτ< 85, ``signal-like''; (lower left) 85 <mτ< 100, ``Z''; (lower right) 100 <mτ< 170, ``misID''. In each plot, the top panel shows the fit distributions and the data, the middle panel shows the ratio of the data to the background component (points error bars) as well as the (signal+background) / background component distributions (blue dotted histogram), and the bottom panel shows the pull by bin (light blue) using the total signal+background fit results. Shaded bands show the systematic uncertainties of the background estimate.

png pdf
Figure 11-d:
Transformed BDT score fit results for the Zμτh channels: (upper left) 40 <mτ< 60, ``ττ''; (upper right) 60 <mτ< 85, ``signal-like''; (lower left) 85 <mτ< 100, ``Z''; (lower right) 100 <mτ< 170, ``misID''. In each plot, the top panel shows the fit distributions and the data, the middle panel shows the ratio of the data to the background component (points error bars) as well as the (signal+background) / background component distributions (blue dotted histogram), and the bottom panel shows the pull by bin (light blue) using the total signal+background fit results. Shaded bands show the systematic uncertainties of the background estimate.

png pdf
Figure 12:
Transformed BDT score fit results for the Zμτe channels: (upper left) 40 <mτ< 50, ``ττ''; (upper right) 50 <mτ< 100, ``signal-like''; (lower) 100 <mτ< 170, ``misID''. In each plot, the top panel shows the fit distributions and the data, the middle panel shows the ratio of the data to the background component (points error bars) as well as the (signal+background) / background component distributions (blue dotted histogram), and the bottom panel shows the pull by bin (light blue) using the total signal+background fit results. Shaded bands show the systematic uncertainties of the background estimate.

png pdf
Figure 12-a:
Transformed BDT score fit results for the Zμτe channels: (upper left) 40 <mτ< 50, ``ττ''; (upper right) 50 <mτ< 100, ``signal-like''; (lower) 100 <mτ< 170, ``misID''. In each plot, the top panel shows the fit distributions and the data, the middle panel shows the ratio of the data to the background component (points error bars) as well as the (signal+background) / background component distributions (blue dotted histogram), and the bottom panel shows the pull by bin (light blue) using the total signal+background fit results. Shaded bands show the systematic uncertainties of the background estimate.

png pdf
Figure 12-b:
Transformed BDT score fit results for the Zμτe channels: (upper left) 40 <mτ< 50, ``ττ''; (upper right) 50 <mτ< 100, ``signal-like''; (lower) 100 <mτ< 170, ``misID''. In each plot, the top panel shows the fit distributions and the data, the middle panel shows the ratio of the data to the background component (points error bars) as well as the (signal+background) / background component distributions (blue dotted histogram), and the bottom panel shows the pull by bin (light blue) using the total signal+background fit results. Shaded bands show the systematic uncertainties of the background estimate.

png pdf
Figure 12-c:
Transformed BDT score fit results for the Zμτe channels: (upper left) 40 <mτ< 50, ``ττ''; (upper right) 50 <mτ< 100, ``signal-like''; (lower) 100 <mτ< 170, ``misID''. In each plot, the top panel shows the fit distributions and the data, the middle panel shows the ratio of the data to the background component (points error bars) as well as the (signal+background) / background component distributions (blue dotted histogram), and the bottom panel shows the pull by bin (light blue) using the total signal+background fit results. Shaded bands show the systematic uncertainties of the background estimate.

png pdf
Figure 13:
Observed and expected 95% CL upper limit by category, as well as for the final combined fit, for the Zeτ (left) and Zμτ (right) searches. The observed limits are denoted by the markers, while the expected limits with their 68% and 95% uncertainties are denoted by the horizontal dashed lines and green and yellow bands, respectively.

png pdf
Figure 13-a:
Observed and expected 95% CL upper limit by category, as well as for the final combined fit, for the Zeτ (left) and Zμτ (right) searches. The observed limits are denoted by the markers, while the expected limits with their 68% and 95% uncertainties are denoted by the horizontal dashed lines and green and yellow bands, respectively.

png pdf
Figure 13-b:
Observed and expected 95% CL upper limit by category, as well as for the final combined fit, for the Zeτ (left) and Zμτ (right) searches. The observed limits are denoted by the markers, while the expected limits with their 68% and 95% uncertainties are denoted by the horizontal dashed lines and green and yellow bands, respectively.

png pdf
Figure 14:
Distributions in meμ for the scan points 111 GeV (upper row) and 496 GeV (lower row) from the Z search. In each row the BDT score range for the left (right) plot is 0.3--0.7 (0.7--1.0). In each plot, the upper panel shows the data (points with error bars) together with the fit distribution curve (red solid) and its separate signal (blue dotted) and background (red dotted) components, the middle panel shows the background subtracted data with the fit signal distribution, and the lower panel shows the deviations of the data from the fit function divided by the fit uncertainty.

png pdf
Figure 14-a:
Distributions in meμ for the scan points 111 GeV (upper row) and 496 GeV (lower row) from the Z search. In each row the BDT score range for the left (right) plot is 0.3--0.7 (0.7--1.0). In each plot, the upper panel shows the data (points with error bars) together with the fit distribution curve (red solid) and its separate signal (blue dotted) and background (red dotted) components, the middle panel shows the background subtracted data with the fit signal distribution, and the lower panel shows the deviations of the data from the fit function divided by the fit uncertainty.

png pdf
Figure 14-b:
Distributions in meμ for the scan points 111 GeV (upper row) and 496 GeV (lower row) from the Z search. In each row the BDT score range for the left (right) plot is 0.3--0.7 (0.7--1.0). In each plot, the upper panel shows the data (points with error bars) together with the fit distribution curve (red solid) and its separate signal (blue dotted) and background (red dotted) components, the middle panel shows the background subtracted data with the fit signal distribution, and the lower panel shows the deviations of the data from the fit function divided by the fit uncertainty.

png pdf
Figure 14-c:
Distributions in meμ for the scan points 111 GeV (upper row) and 496 GeV (lower row) from the Z search. In each row the BDT score range for the left (right) plot is 0.3--0.7 (0.7--1.0). In each plot, the upper panel shows the data (points with error bars) together with the fit distribution curve (red solid) and its separate signal (blue dotted) and background (red dotted) components, the middle panel shows the background subtracted data with the fit signal distribution, and the lower panel shows the deviations of the data from the fit function divided by the fit uncertainty.

png pdf
Figure 14-d:
Distributions in meμ for the scan points 111 GeV (upper row) and 496 GeV (lower row) from the Z search. In each row the BDT score range for the left (right) plot is 0.3--0.7 (0.7--1.0). In each plot, the upper panel shows the data (points with error bars) together with the fit distribution curve (red solid) and its separate signal (blue dotted) and background (red dotted) components, the middle panel shows the background subtracted data with the fit signal distribution, and the lower panel shows the deviations of the data from the fit function divided by the fit uncertainty.

png pdf
Figure 15:
Expected and observed 95% CL upper limits on σ(Z)B(Zeμ) for Z masses between 110 and 500 GeV. The solid black line connects filled circles representing the observed upper limits at the scan points, while the dashed line with filled error bands shows the expected limit.
Tables

png pdf
Table 1:
Mass regions for the Zμτ and Zeτ fits.

png pdf
Table 2:
Sources of systematic uncertainty and their relative impacts on the measured branching fraction, in percent. An entry for a channel to which a source of uncertainty is not applicable is denoted with ---.

png pdf
Table 3:
The measured branching fraction with its significance (signif.) and the observed and expected 95% CL upper limits, for each of the Zeμ, Zeτ, and Zμτ decay channels. The prior best published limits are also given for comparison. Included are results for the separate BDT bins for Zeμ and the separate τ decay subchannels for Zeτ and Zμτ.
Summary
A search is presented for charged lepton flavor-violating decays of the Z boson, and for the presence of a heavier vector boson Z exhibiting such decays. The data from proton-proton collisions at 13 TeV were collected with the CMS detector at the LHC, and correspond to an integrated luminosity of 138 fb1. The specific decay modes considered are Z()eμ, Zeτ, and Zμτ. No significant excess of events over backgrounds from standard-model processes is observed. Upper limits of 1.9 ×107, 13.8 ×107, and 12.0 ×107 at 95% CL are set on the branching fractions for Zeμ, Zeτ, and Zμτ, respectively. The limit for Zeμ is the most restrictive to date, while for Zμτ the sensitivity in terms of the expected limit is the same as that of the previous best limit. For Z masses in the range 110--500 GeV, upper limits on the cross section times the branching fraction to eμ range from 0.3 to 7\unitfb, and are the most restrictive to date for this mass range.
References
1 Super-Kamiokande Collaboration Measurement of the flux and zenith angle distribution of upward through going muons by Super-Kamiokande PRL 82 (1999) 2644 hep-ex/9812014
2 SNO Collaboration Direct evidence for neutrino flavor transformation from neutral current interactions in the Sudbury Neutrino Observatory PRL 89 (2002) 011301 nucl-ex/0204008
3 KamLAND Collaboration First results from KamLAND: Evidence for reactor anti-neutrino disappearance PRL 90 (2003) 021802 hep-ex/0212021
4 W. J. Marciano, T. Mori, and J. M. Roney Charged lepton flavor violation experiments Ann. Rev. Nucl. Part. Sci. 58 (2008) 315
5 L. Calibbi and G. Signorelli Charged lepton flavour violation: An experimental and theoretical introduction Riv. Nuovo Cim. 41 (2018) 71 1709.00294
6 P. Langacker The physics of heavy Z' gauge bosons Rev. Mod. Phys. 81 (2009) 1199 0801.1345
7 C. Cornella, P. Paradisi, and O. Sumensari Hunting for ALPs with lepton flavor violation JHEP 01 (2020) 158 1911.06279
8 M. Bauer et al. Flavor probes of axion-like particles JHEP 09 (2022) 056 2110.10698
9 MEG Collaboration Search for the lepton flavour violating decay μ+e+γ with the full dataset of the MEG experiment EPJC 76 (2016) 434 1605.05081
10 SINDRUM Collaboration Search for the decay μ+e+e+e NPB 299 (1988) 1
11 SINDRUM II Collaboration A search for muon to electron conversion in muonic gold EPJC 47 (2006) 337
12 BaBar Collaboration Search for the reactions e+eμ+τ and e+ee+τ PRD 75 (2007) 031103 hep-ex/0607044
13 BaBar Collaboration Searches for lepton flavor violation in the decays τ±e±γ and τ±μ±γ PRL 104 (2010) 021802 0908.2381
14 K. Hayasaka et al. Search for lepton flavor violating τ decays into three leptons with 719 million produced tau+tau- pairs PLB 687 (2010) 139 1001.3221
15 OPAL Collaboration A Search for lepton flavor violating Z0 decays Z. Phys. C 67 (1995) 555
16 DELPHI Collaboration Search for lepton flavor number violating Z0 decays Z. Phys. C 73 (1997) 243
17 ATLAS Collaboration Search for charged-lepton-flavour violation in Z-boson decays with the ATLAS detector Nature Phys. 17 (2021) 819 2010.02566
18 ATLAS Collaboration Search for lepton-flavor-violation in Z-boson decays with τ leptons with the ATLAS detector PRL 127 (2022) 271801 2105.12491
19 ATLAS Collaboration Search for the charged-lepton-flavor-violating decay Zeμ in pp collisions at s= 13 TeV with the ATLAS detector PRD 108 (2023) 032015 2204.10783
20 CMS Collaboration The CMS experiment at the CERN LHC JINST 3 (2008) S08004
21 CMS Collaboration Description and performance of track and primary-vertex reconstruction with the CMS tracker JINST 9 (2014) P10009 CMS-TRK-11-001
1405.6569
22 CMS Tracker Group Collaboration The CMS phase-1 pixel detector upgrade JINST 16 (2021) P02027 2012.14304
23 CMS Collaboration Track impact parameter resolution for the full pseudo rapidity coverage in the 2017 dataset with the CMS phase-1 pixel detector CMS Detector Performance Summary CMS-DP-2020-049, 2020
CDS
24 CMS Collaboration Technical proposal for the Phase-II upgrade of the Compact Muon Solenoid CMS Technical Proposal CERN-LHCC-2015-010, CMS-TDR-15-02, 2015
CDS
25 CMS Collaboration Particle-flow reconstruction and global event description with the CMS detector JINST 12 (2017) P10003 CMS-PRF-14-001
1706.04965
26 M. Cacciari, G. P. Salam, and G. Soyez The anti-kt jet clustering algorithm JHEP 04 (2008) 063 0802.1189
27 M. Cacciari, G. P. Salam, and G. Soyez FastJet user manual EPJC 72 (2012) 1896 1111.6097
28 CMS Collaboration Jet energy scale and resolution in the CMS experiment in pp collisions at 8 TeV JINST 12 (2017) P02014 CMS-JME-13-004
1607.03663
29 CMS Collaboration Identification of b-quark jets with the CMS experiment JINST 8 (2013) P04013 CMS-BTV-12-001
1211.4462
30 CMS Collaboration Performance of the DeepJet b tagging algorithm using 41.9/fb of data from proton-proton collisions at 13 TeV with Phase 1 CMS detector CMS Detector Performance Note CMS-DP-2018-058, 2018
CDS
31 E. Bols et al. Jet flavour classification using DeepJet JINST 15 (2020) P12012 2008.10519
32 CMS Collaboration Performance of reconstruction and identification of τ leptons decaying to hadrons and ντ in pp collisions at s= 13 TeV JINST 13 (2018) P10005 CMS-TAU-16-003
1809.02816
33 CMS Collaboration Identification of hadronic tau lepton decays using a deep neural network JINST 17 (2022) P07023 CMS-TAU-20-001
2201.08458
34 CMS Collaboration ECAL 2016 refined calibration and Run2 summary plots CMS Detector Performance Summary CMS-DP-2020-021, 2020
CDS
35 CMS Collaboration Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC JINST 16 (2021) P05014 CMS-EGM-17-001
2012.06888
36 CMS Collaboration Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at s= 13 TeV JINST 13 (2018) P06015 CMS-MUO-16-001
1804.04528
37 CMS Collaboration Performance of missing transverse momentum reconstruction in proton-proton collisions at s= 13 TeV using the CMS detector JINST 14 (2019) P07004 CMS-JME-17-001
1903.06078
38 D. Bertolini, P. Harris, M. Low, and N. Tran Pileup per particle identification JHEP 10 (2014) 059 1407.6013
39 CMS Collaboration Performance of the CMS Level-1 trigger in proton-proton collisions at s= 13 TeV JINST 15 (2020) P10017 CMS-TRG-17-001
2006.10165
40 CMS Collaboration The CMS trigger system JINST 12 (2017) P01020 CMS-TRG-12-001
1609.02366
41 CMS Collaboration Performance of the CMS high-level trigger during LHC run 2 JINST 19 (2024) P11021 CMS-TRG-19-001
2410.17038
42 CMS Collaboration Precision luminosity measurement in proton-proton collisions at s= 13 TeV in 2015 and 2016 at CMS EPJC 81 (2021) 800 CMS-LUM-17-003
2104.01927
43 CMS Collaboration CMS luminosity measurement for the 2017 data-taking period at s= 13 TeV CMS Physics Analysis Summary, 2018
link
CMS-PAS-LUM-17-004
44 CMS Collaboration CMS luminosity measurement for the 2018 data-taking period at s= 13 TeV CMS Physics Analysis Summary, 2019
link
CMS-PAS-LUM-18-002
45 J. Alwall et al. The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations JHEP 07 (2014) 079 1405.0301
46 J. Alwall et al. Comparative study of various algorithms for the merging of parton showers and matrix elements in hadronic collisions EPJC 53 (2008) 473 0706.2569
47 P. Nason A new method for combining NLO QCD with shower Monte Carlo algorithms JHEP 11 (2004) 040 hep-ph/0409146
48 S. Frixione, P. Nason, and C. Oleari Matching NLO QCD computations with parton shower simulations: the POWHEG method JHEP 11 (2007) 070 0709.2092
49 S. Alioli, P. Nason, C. Oleari, and E. Re A general framework for implementing NLO calculations in shower Monte Carlo programs: the POWHEG BOX JHEP 06 (2010) 043 1002.2581
50 S. Alioli, P. Nason, C. Oleari, and E. Re NLO single-top production matched with shower in POWHEG: s- and t-channel contributions JHEP 09 (2009) 111 0907.4076
51 E. Re Single-top Wt-channel production matched with parton showers using the POWHEG method EPJC 71 (2011) 1547 1009.2450
52 R. Frederix and S. Frixione Merging meets matching in MC@NLO JHEP 12 (2012) 061 1209.6215
53 T. Sjöstrand et al. An introduction to PYTHIA 8.2 Comput. Phys. Commun. 191 (2015) 159 1410.3012
54 CMS Collaboration Event generator tunes obtained from underlying event and multiparton scattering measurements EPJC 76 (2016) 155 CMS-GEN-14-001
1512.00815
55 CMS Collaboration Extraction and validation of a new set of CMS PYTHIA8 tunes from underlying-event measurements EPJC 80 (2020) 4 CMS-GEN-17-001
1903.12179
56 NNPDF Collaboration Parton distributions with QED corrections NPB 877 (2013) 290 1308.0598
57 GEANT4 Collaboration GEANT4---a simulation toolkit NIM A 506 (2003) 250
58 T. Chen and C. Guestrin XGBoost: A scalable tree boosting system in Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '16. Association for Computing Machinery, New York, NY, USA, 2016
link
1603.02754
59 T. Skwarnicki A study of the radiative CASCADE transitions between the Upsilon-Prime and Upsilon resonances PhD thesis, Cracow, INP, 1986
60 P. D. Dauncey, M. Kenzie, N. Wardle, and G. J. Davies Handling uncertainties in background shapes: the discrete profiling method JINST 10 (2015) P04015 1408.6865
61 CMS Collaboration An embedding technique to determine ττ backgrounds in proton-proton collision data JINST 14 (2019) P06032 CMS-TAU-18-001
1903.01216
62 CMS Collaboration Measurements of Higgs boson production in the decay channel with a pair of τ leptons in proton-proton collisions at s= 13 TeV EPJC 83 (2023) 562 CMS-HIG-19-010
2204.12957
63 CMS Collaboration Search for lepton-flavor violating decays of the Higgs boson in the μτ and eτ final states in proton-proton collisions at s= 13 TeV PRD 104 (2021) 032013 CMS-HIG-20-009
2105.03007
64 S. Davidson, S. Lacroix, and P. Verdier LHC sensitivity to lepton flavour violating Z boson decays JHEP 09 (2012) 092 1207.4894
65 TMVA Collaboration TMVA - Toolkit for Multivariate Data Analysis Technical Report CERN-OPEN-2007-007, 2007
link
physics/0703039
66 CMS Collaboration The CMS statistical analysis and combination tool: Combine Comput. Softw. Big Sci. 8 (2024) 19 CMS-CAT-23-001
2404.06614
67 J. S. Conway Incorporating nuisance parameters in likelihoods for multisource spectra PHYSTAT (2011) 115 1103.0354
68 G. Cowan, K. Cranmer, E. Gross, and O. Vitells Asymptotic formulae for likelihood-based tests of new physics EPJC 71 (2011) 1554 1007.1727
69 T. Junk Confidence level computation for combining searches with small statistics NIM A 434 (1999) 435
70 A. L. Read Presentation of search results: the CLs technique JPG 28 (2002) 2693
71 G. Cowan Statistics for searches at the LHC in LHC Phenomenology, Scottish Graduate Series, 2015
link
72 CMS Collaboration Search for heavy resonances and quantum black holes in e\ensuremath\mu, e\ensuremath\tau, and \ensuremath\mu\ensuremath\tau final states in proton-proton collisions at s= 13 TeV JHEP 05 (2023) 227 CMS-EXO-19-014
2205.06709
Compact Muon Solenoid
LHC, CERN